Incentivizing Semisupervised Vehicular Federated Learning: A Multidimensional Contract Approach With Bounded Rationality
Author:
Affiliation:
1. School of Automation, Guangdong University of Technology, Guangzhou, China
2. Department of Computer and Information Science, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Science and Technology Development Fund of Macau, SAR
FDCT-MOST Joint Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/9899827/09739801.pdf?arnumber=9739801
Reference40 articles.
1. Toward an Automated Auction Framework for Wireless Federated Learning Services Market
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3. FixMatch: Simplifying semi-supervised learning with consistency and confidence;sohn;arXiv 2001 07685,2020
4. Learning Driven NOMA Assisted Vehicular Edge Computing via Underlay Spectrum Sharing
5. FedParking: A Federated Learning Based Parking Space Estimation With Parked Vehicle Assisted Edge Computing
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